News

Keep up with the latest news from the NCI Center for Biomedical Informatics and Information Technology (CBIIT) and the data science communities.

Discover how the algorithms produced in this challenge performed in detecting breast cancer.

Planning your itinerary for this year’s American Association for Cancer Research (AACR) Annual Meeting? Want to make sure you catch the NCI-affiliated data science activities? We’ve put together a helpful reference page for you!

NCI-funded researchers have developed a new artificial intelligence algorithm that’s helping identify the underlying biological causes of glioblastoma.

Using data from routine lung scans, NCI-supported researchers developed an AI-based tool to help predict how patients will respond to therapy.

Researchers seeking potential targets for treating childhood cancers now have an even better tool for the job. Check out the latest enhancements to the NCI Childhood Cancer Data Initiative’s (CCDI’s) Molecular Targets Platform.

CCDI additions include molecular characterization data from childhood cancer patients of racial and ethnic diversity.

With help from NCI’s Small Business Innovation Research (SBIR) program, researchers are refining a biophysical simulation technology using computational models for personalized cancer care.

Explore the newly released pediatric data set that includes information on DNA/RNA sequencing, methylation arrays, and deidentified clinical reports.

Learn how NCI CT (Computed Tomography) imaging data sets enable the use of artificial intelligence in planning treatment for non-small cell lung cancer.

Dr. Peng Jiang of NCI’s Center for Cancer Research Cancer Data Science Lab and his postdocs have developed an open-source computational tool called the tumor-resilient T cell (Tres) model. Tres analyzes gene activity in T cells to assess how those cells are likely to fare in an immunosuppressive environment.